"Drawing spatial maps of tumor clones and their microenvironment"
|
Abstract: Tumor heterogeneity is crucial for understanding for cancer progression, treatment, and survival. Four types of tumor heterogeneity can be distinguished: genetic, spatial, phenotypic and microenvironmental. I will show our approaches to resolving these types of heterogeneity from single cell or bulk DNA sequencing and spatial transcriptomics data.
|
|
Bio: Ewa Szczurek is an associate professor at the Faculty of Mathematics, Informatics and Mechanics at the University of Warsaw. She holds two Master degrees in computer science, one from the Uppsala University, Sweden and one from the University of Warsaw, Poland. She finished PhD studies at the Max Planck Institute for Molecular Genetics in Berlin, Germany and conducted postdoctoral research at ETH Zurich, Switzerland. She now leads a Computational Medicine research group focusing on machine learning, with applications in computational oncology and medicine. Her group works mainly with probabilistic graphical models and deep learning, with a recent focus on variational autoencoders. Her research applications include oncology, antimicrobial peptide generation, and covid-19.
|
|
|
|
